Top Data Analyst Jobs in Bucharest

Analyze large-scale security telemetry, threat intelligence, endpoint, and detection data to identify trends, anomalies, and emerging threats. Build dashboards, reports, data pipelines, and KPI frameworks using SQL, Python, LogScale, or similar tools. Collaborate with data engineering, product, and engineering teams to ensure data quality and translate complex findings into actionable insights for technical and non-technical stakeholders.

Analyze and visualize large-scale IT infrastructure and asset data. Build and maintain ETL/ELT pipelines, optimized SQL queries, data models, and interactive Power BI dashboards. Collaborate with customers, business partners, and engineering teams to translate requirements into data solutions and resolve complex analytical challenges. Apply AI and automation technologies to improve workflows, while supporting data quality, governance, mappings, transformations, and schema normalization.

Analyze and model data from more than 20 countries supporting global KYC, AML, fraud, sanctions, and compliance services. Define data requirements, controls, quality standards, mappings, and roadmaps; investigate incidents; translate business and regulatory needs into functional designs; optimize processes; and collaborate with international business and technical stakeholders in an Agile environment.

Own A/B testing and analysis for Paper.io 2, using large datasets to uncover player behavior and growth opportunities. Translate insights into game design and product roadmap recommendations, optimize monetization and core KPIs, and build dashboards and reports. Collaborate with designers, product managers, and developers in a fast-paced live-ops environment.

Analyzes sales data across customers, regions, products, pricing, and margins to identify trends, performance drivers, opportunities, and variances. Collects and consolidates information from SAP, Power BI, Salesforce, Excel, and other sources; builds reports, dashboards, pivot tables, charts, and presentations; maintains reporting tools; and provides actionable insights supporting business development decisions.

Own analytics for Nuitee’s global travel marketplace, analyzing enterprise partners, self-service API adoption, bookings, product performance, and customer behavior. Build and validate dbt models, data pipelines, experimentation capabilities, and analytical products end to end. Partner with senior Product, Engineering, and commercial leaders to establish trusted metrics, resolve reporting inconsistencies, identify growth opportunities, and influence product and business decisions in a fast-moving startup environment.

Analyze large datasets to identify trends and deliver actionable insights; design and monitor KPIs; build and maintain dashboards and reporting frameworks; conduct ad hoc analyses; ensure data quality and support reporting infrastructure in partnership with product and business teams.

Analyze payments data, integrate complex data sources, maintain performance reports, monitor KPIs, and identify opportunities to optimize payment routing and reduce failures and costs. The role collaborates with Payment Operations, Product, Finance, Customer Support, analysts, and engineers to ensure data quality and deliver actionable insights through ad hoc analysis, dashboards, and automated reporting.

Develops and maintains forecasting models for clinical site payments, integrating Medidata Payments data and supporting financial reporting. Analyzes plan-versus-actual performance, budget variances, and forecast risks; prepares client-ready reports and reconciliations. Partners with Revenue Recognition, Clinical Operations, Project Analysis, and planning teams to support audits, change orders, study closeouts, compliance, and sponsor reporting requirements.

Analyzes business requirements, assesses system impacts and feasibility, creates functional and non-functional specifications, supports solution design, development, testing, implementation stabilization, and application acquisition. The role focuses on data management solutions, data warehouses, reporting systems, BI technologies, data integration, and financial services projects while collaborating with business and IT stakeholders.

Lead analytics for subscription products and web funnels, partnering with Product, Marketing, and Data teams to improve conversion, retention, and LTV. Build trusted dashboards, SQL data models, event tracking structures, funnel and cohort analyses, and A/B testing insights. Monitor metrics, identify anomalies, communicate recommendations, and mentor junior and mid-level analysts while maintaining reliable reporting and data foundations.

Analyzes business requirements for data and IT systems, assessing feasibility, risks, impacts, and effort. Translates requirements into functional and non-functional specifications, supports solution design, development, testing, and post-implementation stabilization. Performs functional and gap analysis for application acquisition and maintains project documentation. The role requires SQL expertise, experience with data warehouse or reporting implementations, and financial services knowledge.

Analyze FMCG sales, pricing, promotions, customer, product, margin, market share, and competitor data to support revenue growth management. Develop pricing and price elasticity models, identify commercial opportunities, create visualizations and actionable insights, and translate analytical needs into product requirements, user stories, and business rules. Collaborate with stakeholders, product managers, data engineers, developers, and commercial teams to build scalable digital analytics solutions.

Senior Business Systems Analyst serving as the bridge between business stakeholders and data teams. Responsibilities include gathering requirements, defining functional specifications, documenting data mappings and ETL/ELT processes, supporting Databricks data solutions, establishing data quality rules, defining test scenarios, participating in UAT, validating implementations, and investigating defects. The role requires strong SQL, data platform knowledge, Agile experience, and effective communication across business and technical teams.

Gather and document data, reporting, and analytics requirements; translate business needs into functional specifications and data requirements; analyze data with SQL; define KPIs and reporting needs; create user stories and process documentation; support testing, validation, and UAT; and ensure data quality across reports and dashboards while collaborating with stakeholders, data engineers, BI developers, and product owners.

Manage and grow a portfolio of brand advertisers, support advertising campaigns, analyze performance data, prepare reports, develop pitches, identify growth opportunities, and coordinate campaign execution with cross-functional teams. The role combines SQL and Python-based analysis with client communication, campaign strategy, relationship management, and quarterly revenue planning.

Analyze and improve fraud signals and user segmentation for Puzzleplay’s rewards platform. Investigate suspicious and manually reviewed users, monitor segment effectiveness, identify gaps in detection, and recommend verification tools. Collaborate with product and data teams to turn analysis into operational fraud controls across different markets as fraud patterns evolve.

Investigate companies, individuals, suppliers, and corporate networks to identify compliance and reputational risks. Review sanctions, PEP alerts, adverse media, ownership structures, and data discrepancies using research, compliance, and case-management tools. Analysts recommend escalation or closure, support customer workflows and monitoring, and communicate findings effectively while meeting strict deadlines.

Own end-to-end analytics for subscription products and web funnels, including KPI definition, dashboards, funnel and cohort analysis, payment performance, user behavior, experimentation, and anomaly monitoring. Build reliable SQL data models and maintain event taxonomies and tracking. Partner cross-functionally with Product, Marketing, Engineering, Finance, and BI to improve conversion, retention, revenue, and LTV. Mentor analysts and communicate actionable recommendations to stakeholders.

Monitor and analyze data activity to identify unauthorized transfers and data leakage incidents. Use DLP metadata to support incident response and forensic investigations, contain incidents, document actions, assess business impact, escalate appropriately, and report to stakeholders. The role also contributes to process improvements, detection-rule tuning, and broader information security initiatives.

Own end-to-end product and marketing analytics for subscription products and web funnels. Define KPIs, build trusted dashboards and reusable SQL data models, analyze funnels, cohorts, retention, LTV, churn, and user behavior, and identify optimization opportunities. Maintain event tracking and taxonomy, monitor anomalies, communicate insights to stakeholders, and mentor junior and mid-level analysts. Collaborate cross-functionally with Product, Marketing, Data Engineering, and BI teams to support experimentation and data-driven decisions.

Coordinates end-to-end data usage requests, helping business teams define needs and validating implementation conditions with legal, compliance, security, and IT stakeholders. Applies data governance standards, monitors KPIs and SLAs, tracks deliverables and budgets, supports reporting, escalates sensitive requests, and improves data usage processes. The role requires strong analytical, communication, project coordination, compliance, and stakeholder management skills, along with fluency in French and English.

Analyzes clinical and operational data to support risk-based quality management and data surveillance. Develops surveillance plans, configures monitoring technologies, evaluates trends and outliers, identifies data quality issues, documents findings, and supports project reviews, meetings, audits, and regulatory inspections. The role requires programming in SAS, R, or SQL, data analysis expertise, familiarity with centralized monitoring and SDTM, and strong communication skills.

Support SEE Growth team by tracking growth KPIs, building and maintaining scalable reports/tools, enabling data access, running ad-hoc analyses, and driving marketing activations from analysis through execution.

Validates, processes, researches, and documents data using queries, sorting, filtering, web research, AI, public sources, and phone outreach. The analyst works with large datasets, identifies defects, verifies data accuracy, and records reproducible issues to support data transformation operations.